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Erschienen in:
05.12.2017 | Original Article
Predictors of Increased Length of Hospital Stay Following Laparoscopic Sleeve Gastrectomy from the National Surgical Quality Improvement Program
Erschienen in: Journal of Gastrointestinal Surgery | Ausgabe 2/2018
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Background
Laparoscopic sleeve gastrectomy is the most commonly performed bariatric procedure in the USA. Identifying preoperative risk factors for prolonged postoperative hospital stay will help appropriately select patients for fast-track protocols and avoid costly readmissions. To date, there has been no large national database analysis of risk factors for prolonged length of stay following laparoscopic sleeve gastrectomy.
Methods
Laparoscopic sleeve gastrectomy procedures reported to the American College of Surgeons National Surgical Quality Improvement Program between 2009 and 2012 were reviewed. Open procedures and revisional procedures were excluded. Baseline patient characteristics and preoperative lab values were reviewed. Univariate analysis was conducted to identify patient factors that predicted prolonged hospitalization (defined as ≥ 3 days). Multivariate logistic regression was used to identify factor associated with prolonged length of stay.
Results
We identified 11,430 patients who underwent laparoscopic sleeve gastrectomy. The median length of stay was 2 days and 18.4% required hospitalization ≥ 3 days. Multivariate analysis revealed that female sex, age greater than 65, body mass index greater than 50, chronic obstructive pulmonary disease, hypertension, renal insufficiency, anemia, and prolonged operative time were significantly associated with prolonged hospital stay.
Conclusions
Preoperative patient characteristics as well as operative details predict prolonged length of stay following laparoscopic sleeve gastrectomy. As the utilization of fast-track protocols in bariatric surgery programs expands, these data may be used to assist in the selection of patients who may be inappropriate for rapid discharge from the hospital after sleeve gastrectomy as well as guide medical optimization strategies preoperatively.